A new organizational tension is forming inside enterprises, Felix Liao from
@denodo says, as AI teams and data teams find themselves on a collision course over how fast context can be delivered.
Chief AI Officers are being hired across major organizations and reporting directly to CEOs. The AI teams they lead are specialized in LLMs, agent building, and orchestration, and their core request is simple: get us the data now, in a safe and secure way.
The data teams see it differently. They need time to get the data warehouse right, often asking for six months before they can deliver. That gap is where the pressure builds.
The dynamic is especially high stakes in banking, where the risks involved in using data for generative AI outputs are significant. Moving fast while managing that risk is the defining challenge for enterprises navigating this moment.